Carbgen Launches CarbConnect® 'AI Studio': A Comprehensive No-Code AI Model Development and Operation Foundation for Life Sciences
Carbgen Inc. has launched 'AI Studio', a no-code feature on its CarbConnect® platform that allows life science researchers to build and operate AI models without programming skills.
📋 Article Processing Timeline
- 📰 Published: April 11, 2026 at 01:00
- 🔍 Collected: April 11, 2026 at 00:21
- 🤖 AI Analyzed: April 20, 2026 at 05:19 (220h 58m after Collected)
Carbgen Inc. (Headquarters: Shibuya-ku, Tokyo; Representative Director: Masakazu Nakajima; hereinafter 'the Company') has today (April 10, 2026) launched 'AI Studio', a new feature of the AI development and provision platform 'CarbConnect®', enabling the construction, evaluation, and operation of AI models without requiring specialized programming or AI development skills.
With this feature, researchers, engineers, and frontline staff can seamlessly execute everything from uploading image data to annotation, and building, evaluating, and operating AI models on CarbConnect®. It removes the barriers of relying on specialized personnel or outsourcing previously needed for AI utilization, achieving a fundamental transformation of research and business processes where 'sites with data' directly become 'sites that create and use AI'.
## Background of Development
High-quality experimental and observational data, such as microscopic images, are accumulated in research institutions and inspection sites. However, currently, these data remain buried without being fully utilized.
The utilization of AI required programming skills, computational resources, and specialized development frameworks, making it difficult for frontlines to lead implementation. Furthermore, the dispersion of data posed challenges in sharing knowledge, standardizing judgment criteria, and ensuring research reproducibility.
Against this backdrop, national science and technology policies are also promoting the transformation of research processes integrating experimental data and AI, as well as the development of environments where researchers in all fields can utilize AI. 'AI Studio' was developed as a practical foundation that balances the accumulation and management of high-quality research data with frontline-led AI utilization.
## Overview of 'AI Studio'
'AI Studio' is a suite of features that achieves the construction, evaluation, and utilization of AI models using various data without specialized AI development skills. Going beyond data accumulation and sharing, it integrates 'simple AI model development and implementation' entirely on the platform.
**Main Features (to be added and implemented sequentially):**
- Uploading and cloud management of various data
- Data sharing, commenting, and discussion within and outside the team
- Annotation (labeling) of images
- Construction of AI models using labeled data (No-code support via AI Studio)
- Evaluation and accuracy verification of AI models
- Utilization of constructed AI in operations and research
- Joint use of data and AI models across multiple locations and multiple users
With this feature, researchers, engineers, and frontline staff can seamlessly execute everything from uploading image data to annotation, and building, evaluating, and operating AI models on CarbConnect®. It removes the barriers of relying on specialized personnel or outsourcing previously needed for AI utilization, achieving a fundamental transformation of research and business processes where 'sites with data' directly become 'sites that create and use AI'.
## Background of Development
High-quality experimental and observational data, such as microscopic images, are accumulated in research institutions and inspection sites. However, currently, these data remain buried without being fully utilized.
The utilization of AI required programming skills, computational resources, and specialized development frameworks, making it difficult for frontlines to lead implementation. Furthermore, the dispersion of data posed challenges in sharing knowledge, standardizing judgment criteria, and ensuring research reproducibility.
Against this backdrop, national science and technology policies are also promoting the transformation of research processes integrating experimental data and AI, as well as the development of environments where researchers in all fields can utilize AI. 'AI Studio' was developed as a practical foundation that balances the accumulation and management of high-quality research data with frontline-led AI utilization.
## Overview of 'AI Studio'
'AI Studio' is a suite of features that achieves the construction, evaluation, and utilization of AI models using various data without specialized AI development skills. Going beyond data accumulation and sharing, it integrates 'simple AI model development and implementation' entirely on the platform.
**Main Features (to be added and implemented sequentially):**
- Uploading and cloud management of various data
- Data sharing, commenting, and discussion within and outside the team
- Annotation (labeling) of images
- Construction of AI models using labeled data (No-code support via AI Studio)
- Evaluation and accuracy verification of AI models
- Utilization of constructed AI in operations and research
- Joint use of data and AI models across multiple locations and multiple users